Aaron Weiker
d68d1697aa
Covers: - Aggregate design (boundaries, invariants, identity) - Event sourcing (immutability, naming, content) - Domain vs integration events - Eventual consistency - Projections and read models - Snapshotting (when and how) - Process managers / sagas - Value objects - Common anti-patterns Focus on subtle mistakes models make, not textbook definitions.
DDD & Event Sourcing Patterns
Review guidance for domain-driven design and event sourcing. Focus on subtle mistakes models make and patterns they get wrong.
Contents
DDD-CHECKLIST.md- The review checklist covering:- Aggregate Design (boundaries, invariants, identity)
- Event Sourcing (immutability, naming, content, reconstruction)
- Domain vs Integration Events
- Eventual Consistency
- Projections (read models)
- Snapshotting
- Process Managers / Sagas
- Value Objects
- Anti-Patterns to Flag
Why This Exists
Models know the textbook definitions but often get the nuances wrong:
- Making aggregates too large (data grouping vs consistency boundary)
- Suggesting "fixes" to immutable events
- Mixing domain and integration events
- Expecting synchronous read model updates
- Snapshotting prematurely
This checklist catches those mistakes.
Integration
# In your review workflow
patterns-repo: rodin/ddd-patterns
patterns-files: '.'
License
MIT